Commit ad8f0001 authored by Alexander Alekhin's avatar Alexander Alekhin
Browse files

typo

parent 22f0ea0c

modules/ximgproc/test/test_edgeboxes.cpp

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@@ -5,7 +5,7 @@ 


namespace opencv_test { namespace {



TEST(ximpgroc_Edgeboxes, regression)

TEST(ximgproc_Edgeboxes, regression)

{

    //Testing Edgeboxes implementation by asking for one proposal

    //on a simple test image from the PASCAL VOC 2012 dataset.

modules/ximgproc/test/test_structured_edge_detection.cpp

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@@ -5,7 +5,7 @@ 


namespace opencv_test { namespace {



TEST(ximpgroc_StructuredEdgeDetection, regression)

TEST(ximgproc_StructuredEdgeDetection, regression)

{

    cv::String subfolder = "cv/ximgproc/";

    cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;

modules/ximgproc/test/test_thinning.cpp

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@@ -18,7 +18,7 @@ static int createTestImage(Mat& src) 
    return src_pixels;

}



TEST(ximpgroc_Thinning, simple_ZHANGSUEN)

TEST(ximgproc_Thinning, simple_ZHANGSUEN)

{

    Mat src;

    int src_pixels = createTestImage(src);
@@ -33,7 +33,7 @@ TEST(ximpgroc_Thinning, simple_ZHANGSUEN) 
#endif

}



TEST(ximpgroc_Thinning, simple_GUOHALL)

TEST(ximgproc_Thinning, simple_GUOHALL)

{

    Mat src;

    int src_pixels = createTestImage(src);

modules/ximgproc/tutorials/training.markdown

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@@ -103,7 +103,7 @@ Training pipeline 


-#  The final step is converting trained model from Matlab binary format to YAML which you can use

    with our ocv::StructuredEdgeDetection. For this purpose run

    opencv_contrib/ximpgroc/tutorials/scripts/modelConvert(model, "model.yml")

    opencv_contrib/ximgproc/tutorials/scripts/modelConvert(model, "model.yml")



How to use your model

---------------------